模糊神经网络型中压无功补偿控制器  

Reactive Power Compensation Controller in Middle -Voltage by Fuzzy Neural Control

作　　者：党存禄[1] 李钧国[1] 马安仁[1] 刘锐 

机构地区：[1]兰州理工大学电气与信息工程学院,730050 [2]中国石油集团长庆局,710035

出　　处：《电气应用》2006年第10期49-52,共4页Electrotechnical Application

摘　　要：从应用角度出发,尝试将模糊神经网络控制原理应用在中压无功补偿控制中,通过网络的学习和记忆功能来调节模糊控制的自适应性和鲁棒性,从而来克服SVG系统中存在的电容器反复投切所引起的电网信号的波动,减少投切谐波,提高控制精度。同时也控制电压分接头的投切次数,来保护分接头开关,延长开关的使用寿命,减少系统的维修成本。针对电力系统无功补偿的特点,确定了模糊控制的输入输出隶属度函数和控制规则,并引入BP网络来调节隶属度函数和控制规则,对电压和无功的双重控制,达到对电压和无功补偿的目的,从而提供更高质量的电能。并进行实验仿真,将实验数据与理论数据进行比较,证明模糊控制理论在无功补偿控制中的应用是可行可靠的。In this work, It＇s attempted to apply the theory of the Fuzzy Neural Control to the design of the middle-voltage controller for compensation of the reactive power in the view of practical using with the adapting the Fuzzy Control＇s adaptivity and robustnessby the function of studying and learning of the Neural Web. The Fuzzy Neural Web control was used to decrease the signal＇s wavelet that was caused by multl-on and multi-off of shunt capacitor in the SV G system, decrease the on-off harmonics and ioncrease the controlling effectivity. White the on-off quantity of voltage tap also was controlled to safe the tap, belong it＇ s using fimits and decrease the money on maintenance. With the characteristics of power systerms＇ Reactive Power Compensation, It is decided the membership function of I/O and the control rules with the BP web adapting. It is reached the compensation to the voltage and reactive power by the dual controlling of the voltage and reactive power and provide the better quality power. At last, it is made experimental emulation, and compared the experimental datas with the theoretical datas. It＇s tested that the application of the Fuzzy Control in the Reactive Power Compensation feasible dan available.

关 键 词：无功补偿 功率因数 模糊神经网络控制 

分 类 号：TM761.1[电气工程—电力系统及自动化]